OS-CFAR process in 2-D for object segmentation from Sidescan Sonar data
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7492614/7497053/07497071.pdf?arnumber=7497071
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. DA-YOLOv7: A Deep Learning-Driven High-Performance Underwater Sonar Image Target Recognition Model;Journal of Marine Science and Engineering;2024-09-10
2. Underwater Side-Scan Sonar Target Detection: YOLOv7 Model Combined with Attention Mechanism and Scaling Factor;Remote Sensing;2024-07-08
3. Side-Scan Sonar Underwater Target Detection: Combining the Diffusion Model With an Improved YOLOv7 Model;IEEE Journal of Oceanic Engineering;2024-07
4. CCW-YOLOv5: A forward-looking sonar target method based on coordinate convolution and modified boundary frame loss;PLOS ONE;2024-06-03
5. Underwater Target Detection by Side-Scan Sonar Based on Yolov7-Attention;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10
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